Material for: "Soil information in Kurdistan region, Dohuk governorate (Iraq)"
Creators
-
Bellat, Mathias
(Project leader)1
-
Zebari, Mjahid
(Researcher)2
-
Glissmann, Benjamin
(Data collector)1
-
Rentschler, Tobias
(Data manager)1
-
Sconzo, Paola
(Data collector)3
-
Kakhani, Nafiseh
(Data manager)1
- Kohsravani, Pegah (Data curator)1
-
Taghizadeh-Mehrjardi, Ruhollah
(Researcher)4
- Brifkany, Bekas (Hosting institution)5
-
Pfälzner, Peter
(Supervisor)1
-
Scholten, Thomas
(Supervisor)1
-
1.
University of Tübingen
-
2.
Ludwig-Maximilians-Universität München
-
3.
University of Palermo
- 4. Ardakan University
- 5. Dohuk Antiquities
Description
This data set consists of eight parts containing the maps, scripts, different parts containing the maps, scripts, raw data and predictions of soil information collected between 2017 and 2023 in the Dohuk governorate of the Kurdistan region of Iraq. This is the supplementary deposit to the paper Soil information in Kurdistan region, Dohuk governorate (Iraq) DOI: https://doi.org/10.5194/essd-2025-418.
A graph describes the entire workflow, and a .csv file contains a list of all the data produced.
Interractive suplementary material can be seen at: https://mathias-bellat.github.io/DSM-Kurdistan/
Additional visualisation of the final maps computed here can be found at https://mathias-bellat.shinyapps.io/Northern-Kurdistan-map/
Files
Workflow.png
Files
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Additional details
Related works
- Has part
- Dataset: 10.1594/PANGAEA.973714 (DOI)
- Dataset: 10.1594/PANGAEA.973701 (DOI)
- Dataset: 10.1594/PANGAEA.973700 (DOI)
- Dataset: 10.6084/m9.figshare.31320958 (DOI)
- Is supplement to
- Data paper: 10.5194/essd-2025-418 (DOI)
Dates
- Created
-
2024-12-11First deposit
- Accepted
-
2026-03-21Final Deposit
Data quality
- Accuracy
-
The accuracy depends on the dataset. For the collected samples, the location accuracy is about 5 m (GPS accuracy). For the different models, the accuracy is explicitly given in tables.
- Completeness
-
Every final attribute has a given value, and its accuracy is shown in the data table.
- Conformity
-
The data are given as much as possible in a standardised format as expressed by the scientific community or by archiving standards (.csv, .pdf, .svg).
- Consistency
-
All the workflow is comprehensive and explained in the supplementary file attached in this deposit.
- Credibility
-
The data are entirely reproducible, so the credibility of the data meets every user's interpretation. However, has model accuracy is not 100% the prediction can be regarded has believable as much as their metrics allows it.
- Processability
-
The data excepted their field interpretation is fully reproducible and therefore meets machine interpretable standards.
- Relevance
-
The data are especially applicable for agricultural or environmental purpose in semi-arid context. It could also be used by Iraqi local policy makers.
- Timeliness
-
No applicable in our case.
- Understandability
-
The data are fully understandable, for the reader has a related supplementary workflow document linked to it.
Study design and Methodology
- Character set
- utf-8
- Data source type
- geographic area, research data, workflow(s), processes
- Data type
- integer, string, decimal, boolean, byte
- Date type
- date
- General data format
- geospatial
- Lifecycle event type
- data collection reports
- Mode of collection
- field observation, laboratory experiment, computer-based observation, field/intervention experiment, content coding
- Numeric type
- integer, decimal, long
- Sampling procedure
- stratified random cluster
- Software package
- r
- Time zone
- utc+03:00
- Type of frequency
- every year
- Type of instrument
- programming script, technical instrument(s)
Software documentation
- Application category
- data analytics and processing software
- Code repository
- https://github.com/mathias-bellat/DSM-Kurdistan.git
- Copyright holder
- GPL-3.0 license
- Copyright year
- 2024
- Development status
- active
- Is accessible for free
- Yes
- Maintainer
- 0000-0003-0319-1562
- Operating system
- windows platform, linux platform
- Programming language
- r, python, javascript